Spotfire Data Science Is A Complete Statistical Software Package With Few, If Any, Equals
February 16, 2021
Spotfire Data Science Is A Complete Statistical Software Package With Few, If Any, Equals
Score 10 out of 10
Vetted Review
Verified User
Overall Satisfaction with Spotfire Data Science
I use Spotfire Data Science for all of my data analysis and data management needs. Ordinarily, I receive data or get access to my client's database. I import it into Spotfire Data Science and ordinarily repair fundamental problems with the data. Next, I get the data into an analyzable form. This may require writing macros to transform the data. Spotfire Data Science macros are powerful. E.g., in analyzing employee data, I aligned events from eight different datasets relative to hiring date. I perform easier or iterative transformations in a workspace. Many of my problems require prediction so I leverage Spotfire Data Science's different modeling nodes and always end up with a powerful ensemble model. The final model can be exported into whatever code my client prefers. Another common area is need is performing exploratory data analysis. Spotfire Data Science is provides quick results for same day responses to clients.
- Spotfire Data Science provide reliable results.
- Spotfire Data Science is 'complete' meaning it provides nearly all the tools I will ever need. If it is not in Spotfire Data Science, then it is probably not worth the effort.
- Spotfire Data Science saves time on figuring out how to do new things; maintenance; and execution time.
- Spotfire Data Science can handle large datasets.
- Spotfire Data Science works more like a quant thinks, so I do not have to trick it to solve the problem in a natural way.
- I think all statistical software could be better organized by problem rather than tool type. All of the academic books are organized this way so that is how we all think.
- It provide solutions of all my client's needs.
- It has made consulting efficient.
- It executes large datasets quickly.
I prefer Spotfire Data Science's approach. It is more natural and fits the way I think. I prefer to use Spotfire Data Science's VB for writing macros. It is real code, meaning that I do not need to trick the software to do what I need and there are no implied loops over solving simple problems. The graphs are publication quality and can be edited by hand or using a macro if I am building hundreds of them. Spotfire Data Science had a user-friendly approach to building lengthy data processing streams (in its workspaces). It is just so fast for analyzing a dataset that you have never seen before and efficient for ongoing work on the same data.
Do you think Spotfire Data Science delivers good value for the price?
Yes
Are you happy with Spotfire Data Science's feature set?
Yes
Did Spotfire Data Science live up to sales and marketing promises?
Yes
Did implementation of Spotfire Data Science go as expected?
Yes
Would you buy Spotfire Data Science again?
Yes